Botros, Angela; Schütz, Narayan; Camenzind, Martin; Urwyler, Prabitha; Bolliger, Daniel; Vanbellingen, Tim; Kistler, Rolf; Bohlhalter, Stephan; Müri, René M.; Mosimann, Urs P.; Nef, Tobias (2019). Long-Term Home-Monitoring Sensor Technology in Patients with Parkinson's Disease-Acceptance and Adherence. Sensors, 19(23) MDPI 10.3390/s19235169
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Botros, 2019, Long_term Home_Monitoring Sensor Technology.pdf - Published Version Available under License Creative Commons: Attribution (CC-BY). Download (20MB) | Preview |
Parkinson's disease (PD) is characterized by a highly individual disease-profile as well as fluctuating symptoms. Consequently, 24-h home monitoring in a real-world environment would be an ideal solution for precise symptom diagnostics. In recent years, small lightweight sensors which have assisted in objective, reliable analysis of motor symptoms have attracted a lot of attention. While technical advances are important, patient acceptance of such new systems is just as crucial to increase long-term adherence. So far, there has been a lack of long-term evaluations of PD-patient sensor adherence and acceptance. In a pilot study of PD patients (N = 4), adherence (wearing time) and acceptance (questionnaires) of a multi-part sensor set was evaluated over a 4-week timespan. The evaluated sensor set consisted of 3 body-worn sensors and 7 at-home installed ambient sensors. After one month of continuous monitoring, the overall system usability scale (SUS)-questionnaire score was 71.5%, with an average acceptance score of 87% for the body-worn sensors and 100% for the ambient sensors. On average, sensors were worn 15 h and 4 min per day. All patients reported strong preferences of the sensor set over manual self-reporting methods. Our results coincide with measured high adherence and acceptance rate of similar short-term studies and extend them to long-term monitoring.
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